DBMS > OpenMLDB vs. Sadas Engine vs. SWC-DB vs. YTsaurus

System Properties Comparison OpenMLDB vs. Sadas Engine vs. SWC-DB vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

An open-source machine learning database that provides a feature platform for training and inference

SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments

A high performance, scalable Wide Column DBMS

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Time Series DBMS

Relational DBMS

Wide column store

Document store
Key-value store

Secondary database models

Relational DBMS

Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.10
Rank	#359	Overall
	#36	Time Series DBMS

Score	0.07
Rank	#373	Overall
	#157	Relational DBMS

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

openmldb.ai

www.sadasengine.com

github.com/kashirin-alex/swc-db
www.swcdb.org

ytsaurus.tech

Technical documentation

openmldb.ai/docs/zh/main

www.sadasengine.com/en/sadas-engine-download-free-trial-and-documentation/#documentation

ytsaurus.tech/docs/en

Developer

4 Paradigm Inc.

SADAS s.r.l.

Alex Kashirin

Yandex

Initial release

2020

2006

2020

2023

Current release

2024-2 February 2024

8.0

0.5, April 2021

License

Commercial or Open Source

Open Source

commercial

free trial version available

Open Source

GPL V3

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++, Java, Scala

C++

Server operating systems

Linux

AIX
Linux
Windows

Linux

Ubuntu

Data scheme

Fixed schema

yes

schema-free

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

YQL, an SQL-based language, is supported

APIs and other access methods

JDBC
SQLAlchemy

JDBC
ODBC
Proprietary protocol

Proprietary protocol
Thrift

Supported programming languages

C++
Go
Java
Python
Scala

.Net
C
C#
C++
Groovy
Java
PHP
Python

C++

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

managed by 'Learn by Usage'

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users, groups and roles according to SQL-standard

Access Control Lists

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